The United States Army Aeromedical Research Laboratory Multi-Attribute Task Battery

The U.S. Army Aeromedical Research Laboratory (USAARL) Multi-Attribute Task Battery (MATB) represents a significant advancement in research platforms for human performance assessment and automation studies. The USAARL MATB builds upon the legacy of the traditional MATB, which has been refined over 30 years of use to include four primary aviation-like tasks. However, the USAARL MATB takes this foundation and enhances it to meet the demands of contemporary research, particularly in the areas of performance modeling, cognitive workload assessment, adaptive automation, and trust in automation. The USAARL MATB retains the four classic subtask types from its predecessors while introducing innovations such as subtask variations, dynamic demand transitions, and performance-driven adaptive automation handoffs. This paper introduces the USAARL MATB to the research community, highlighting its development history, key features, and potential applications.

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Publication Details

Journal
Frontiers in Neuroergonomics
Published
2024-12-18
DOI
https://doi.org/10.3389/fnrgo.2024.1435588
Citations
5
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
3.22

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article

The United States Army Aeromedical Research Laboratory Multi-Attribute Task Battery

Sharon Bommer, Charles D. McCurry, Joseph A. Atchley, Jonathan Vogl
5 citations
Frontiers in Neuroergonomics
Human-Automation Interaction and Safety
3.22
article

The United States Army Aeromedical Research Laboratory Multi-Attribute Task Battery

Sharon Bommer, Charles D. McCurry, Joseph A. Atchley, Jonathan Vogl
article en
5 citations

Abstract

The U.S. Army Aeromedical Research Laboratory (USAARL) Multi-Attribute Task Battery (MATB) represents a significant advancement in research platforms for human performance assessment and automation studies. The USAARL MATB builds upon the legacy of the traditional MATB, which has been refined over 30 years of use to include four primary aviation-like tasks. However, the USAARL MATB takes this foundation and enhances it to meet the demands of contemporary research, particularly in the areas of performance modeling, cognitive workload assessment, adaptive automation, and trust in automation. The USAARL MATB retains the four classic subtask types from its predecessors while introducing innovations such as subtask variations, dynamic demand transitions, and performance-driven adaptive automation handoffs. This paper introduces the USAARL MATB to the research community, highlighting its development history, key features, and potential applications.

Frontiers in NeuroergonomicsVol. 5
Oak Ridge Associated Universities (US), United States Army Aeromedical Research Lab (US), Oak Ridge Institute for Science and Education
U.S. Department of Energy, Oak Ridge Institute for Science and Education, U.S. Army Aeromedical Research Laboratory, U.S. Army Medical Research and Development Command
Industry, innovation and infrastructure
Openalex Percentile: Top 8%
Human-Automation Interaction and Safety
3.22
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